Applied Mechanics and Materials Vols. 20-23

Abstract: This paper proposes a fast macrocell label switching mechanism (MLSM) in the MPLS-WiMAX networks. The mobil station (MS) communicates with each other within macrocell, e.g., MSA in the cellA communicates with MSB in the other cell, and can be switched via the media access control (MAC) layer without involving the network layer. The average access delay of request from MSs is studied and analyzed in this paper. Finally, simulation results show that the purposed MLSM operates effectively and efficiently in terms of network throughput, average delay, and resource utilization.

Abstract: In this paper, a fast global motion estimation algorithm is proposed to speed up the processing of microscopic image sequence. A translation model based on non-linear density estimation is adopted by the proposed algorithm. To speed up the process, three-level pyramid is used. Noise detection and feature pixel extraction run simultaneously in each pyramid level. Then the motion parameters is estimated only with the feature pixels. The experimental results show that the computational complexity of the proposed algorithm is reduced much while estimation accuracy is maintained compared with the MPEG-4 algorithm.

Abstract: The frequent and excessive fluctuation of agricultural and livestock products price is not only harmful to residents’ living, but also affects CPI (Consumer Price Index) values, and even leads to social crisis, which influences social stability. Therefore it is important to forecast the price of agriculture and livestock products. As a result, we made a research on the factors affecting agricultural and livestock products price, established a forecasted model of agricultural and livestock products price, and developed its early-warning system which is suitable to China. Considering the direct relationship between the price and the output, multiple linear regression method was adopted to study this problem. The model is composed of three sub-models. This paper puts forward the concept of price equilibrium coefficient C0, which describes the degree to which people accepting the forecasted price. With the establishment of the standard for the influence of price fluctuation, the influence of price fluctuation is measured. Each range of the C0 value corresponds with a specific result, which may informs the government with the danger of price fluctuation. As a result, the model can early-warn the price rising caused by crop reduction due to sudden natural disaster, which may induce social turmoil and crisis. If the forecasted price rises heavily, the government should take measures to avoid crisis. This paper offers the method to control future price. Finally, a forecasted model of pork price is calculated with simulated data. The forecasted result is in good agreement with actual situation.

Abstract: This study numerically investigates reactive pollutants (NO, NO2, and O3) flow and dispersion in a street canyon with a canyon aspect ratio of one using a simple chemical reaction mechanism. A line source for medium emissions of NOx was considered in the presence of background O3 concentration. The contours of those species (NO, NO2, and O3) was produced and the photo-stationary state defect was calculated. It was found that the photo-stationary state defect was a sensitive indicator of reactive mixing within the canyon and the greater the defect, the greater the local state of chemical instability. High values were found near the roof level along the downwind wall and low values were found at the ground near the upwind wall. The results demonstrate that the anticorrosive materials should be positioned or construed at the downwind side of the canyon.

Abstract: Authentic leadership is an emerging theory in recently years. This paper firstly introduces definitions of authentic leadership addressed by domestic and foreign scholars, and discusses related concepts and various dimensions of the structure. Then relevant structure models of authentic leadership are presented, as well as related variables. Limited scales—only two of them can be found in published papers—were developed. We contribute some regard consensus in this concept based on our reviews. In addition, more scales and the relationship between variables and authentic leadership need to be further explored.

Abstract: In nonlinear blind source separation (BSS) independence is not sufficient to recover the original source signal and additional criteria are needed to sufficiently constrain the optimization problem. Here we introduce autoregressive (AR) parameters as criteria and combined with expansion space develop a new method, which lead to a unique solution of the nonlinear BSS problem. The proposed method is based on two key assumptions. One lies in that a source signal’s AR parameters can be roughly estimated before operation, and the other is that expansion space, such as kernel feature space, should be chosen rich enough to approximate the nonlinearity. This method can extract the desired source signal as a unique solution with the help of this signal’s AR parameter, or it extracts one signal at one time. Thus it is also referred to as nonlinear blind source extraction (BSE). Its performance is demonstrated on nonlinearly mixed speech data.

Abstract: The paper proposes an adaptive digital watermarking scheme based on chaos sequence and DCT transform. The scheme can choose the location for watermark inserting adaptively, and properly assign the embedding intensity in different inserting locations according to the characteristic of human visual system (HVS). On the other hand, this scheme combines chaos sequence and scrambling technique to improve the ability to withstand various attacks. The experimental results show that, the method can basically satisfy transparency and robustness requirement.

Abstract: The text of the video can provide important information for video description and retrieval. First,the paper adopts Maximum Gradient algorithm which is based on the Sobel Gradient operator to detect the edge of the text. Second, with regards to the rich information of the edge of text, variance projection is employed to detect text zones and to filtrate false text zones by calculating the Regional Density. Finally, Image Morphology is employed to treat the edge of the text. It is to get position and color information of pixels of original image and extract text from complex background. A large number of experiments to prove that the algorithm is very effective.

Abstract: Higher power consumption in data centers results in more heat dissipation, cooling costs and degrades the system reliability. Conventional power reduction techniques such as dynamic voltage/frequency scaling (DVS/DFS) have disadvantages when they are ported to current data centers with virtualization deployments. In this paper, we give a short survey and discussion on some issues and aspects of DVS/DFS in data centers. This paper also presents a simple comparison of four power management schemes in virtualization environments.

Abstract: The Sodium carboxymethyl cellulose (CMC)-Hyaluronic acid (HA)-Carboxymethyl chitosan (CMCS) blend films were prepared by solution method, and then characterized by FT-IR,XRD,SEM and water absorption capability. The results suggested that there were strong molecular interaction and good compatibility in the blend films. The blend films are expected to be used as controllable degradation biomaterials in the field of postsurgical hemostasis and anti-adhesion.